Treatment parameter estimation

Abstract

Aspects of the disclosed technology provide solutions of simulating patient treatment outcomes and in particular, for estimating treatment parameters that can be optimally modified to achieve a desired treatment outcome. In some aspects, a process of the disclosed technology includes steps for receiving patient data, receiving a plurality of treatment parameters, and generating an output state of the patient based on the initial state of the patient and the treatment goal for the patient. In some aspects, the process can further include steps for calculating an objective function based on the output state of the patient and the treatment goal of the patient, and updating one or more of the treatment parameters based on the objective function. Systems and machine-readable media are also provided.

1 . A computer-implemented method comprising:
 receiving patient data, wherein the patient data comprises information representing an initial state of a patient;   receiving a plurality of treatment parameters, wherein the plurality of treatment parameters are based on a treatment goal for the patient;   generating an output state of the patient based on the initial state of the patient and the plurality of treatment parameters;   calculating an objective function based on the output state of the patient and the treatment goal of the patient; and   updating one or more of the treatment parameters based on the objective function.   
     
     
         2 . The computer-implemented method of  claim 1 , wherein updating the one or more treatment parameters further comprises:
 identifying the one or more treatment parameters based on a derivative of the objective function.   
     
     
         3 . The computer-implemented method of  claim 1 , wherein generating the output state of the patient further comprises:
 providing the patient data and the plurality of treatment parameters to a simulation model, wherein the simulation model comprises a numerical model.   
     
     
         4 . The computer-implemented method of  claim 3 , wherein the numerical model comprises a bio-mechanical model. 
     
     
         5 . The computer-implemented method of  claim 1 , wherein the output state of the patient comprises a three-dimensional (3D) mesh. 
     
     
         6 . The computer-implemented method of  claim 1 , wherein the patient data comprises an inter-oral scan. 
     
     
         7 . The computer-implemented method of  claim 1 , wherein the treatment goal for the patient comprises a three-dimensional (3D) mesh. 
     
     
         8 . A system, comprising:
 at least one memory; and   at least one processor coupled to the at least one memory, the at least one processor configured to:
 receive patient data, wherein the patient data comprises information representing an initial state of a patient; 
 receive a plurality of treatment parameters, wherein the plurality of treatment parameters are based on a treatment goal for the patient; 
 generate an output state of the patient based on the initial state of the patient and the plurality of treatment parameters; 
 calculate an objective function based on the output state of the patient and the treatment goal of the patient; and 
 update one or more of the treatment parameters based on the objective function. 
   
     
     
         9 . The system of  claim 8 , wherein to update the one or more treatment parameters the at least one processor is further configured to:
 identify the one or more treatment parameters based on a derivative of the objective function.   
     
     
         10 . The system of  claim 8 , wherein to generate the output state of the patient the at least one processor is further configured to:
 provide the patient data and the plurality of treatment parameters to a simulation model, wherein the simulation model comprises a numerical model.   
     
     
         11 . The system of  claim 10 , wherein the numerical model comprises a bio-mechanical model. 
     
     
         12 . The system of  claim 8 , wherein to generate the output state of the patient the at least one processor is further configured to:
 provide the patient data and the plurality of treatment parameters to a simulation model, wherein the simulation model comprises a machine-learning (ML) model.   
     
     
         13 . The system of  claim 8 , wherein the patient data comprises an inter-oral scan. 
     
     
         14 . The system of  claim 8 , wherein the treatment goal for the patient comprises a three-dimensional mesh. 
     
     
         15 . A non-transitory computer-readable storage medium comprising at least one instruction for causing a computer or processor to:
 receive patient data, wherein the patient data comprises information representing an initial state of a patient;   receive a plurality of treatment parameters, wherein the plurality of treatment parameters are based on a treatment goal for the patient;   generate an output state of the patient based on the initial state of the patient and the plurality of treatment parameters;   calculate an objective function based on the output state of the patient and the treatment goal of the patient; and   update one or more of the treatment parameters based on the objective function.   
     
     
         16 . The non-transitory computer-readable storage medium of  claim 15 , wherein to update the one or more treatment parameters the at least one instruction is further configured to cause the processor to:
 identify the one or more treatment parameters based on a derivative of the objective function.   
     
     
         17 . The non-transitory computer-readable storage medium of  claim 15 , wherein to generate the output state of the patient the at least one instruction is further configured to cause the processor to:
 provide the patient data and the plurality of treatment parameters to a simulation model, wherein the simulation model comprises a numerical model.   
     
     
         18 . The non-transitory computer-readable storage medium of  claim 17 , wherein the numerical model comprises a bio-mechanical model. 
     
     
         19 . The non-transitory computer-readable storage medium of  claim 15 , wherein to generate the output state of the patient the at least one processor is further configured to:
 provide the patient data and the plurality of treatment parameters to a simulation model, wherein the simulation model comprises a machine-learning (ML) model.   
     
     
         20 . The non-transitory computer-readable storage medium of  claim 15 , wherein the patient data comprises an inter-oral scan. 
     
     
         21 .- 49 . (canceled)